AI/ML Engineer | Unlocking insights and solving problems through data-driven approaches📈
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HIPL
AI/ML Engineer
June 14, 2026 – Present
synapse
April 12, 2026 – Present
A self-evolving knowledge system that structures, connects, and continuously improves knowledge using LLMs and a dynamic graph.
View ProjectMedBot
April 28, 2025 – May 3, 2025
MedBot: The Multi-Agent Medical Assistant is an AI-powered chatbot designed to assist with medical diagnosis, research, and patient interactions.
View ProjectFinal-Year-Minor_Project
October 9, 2023 – October 9, 2023
This is a minor project of 7th Semester students.
View Projectbrain-tumor-prediction
July 26, 2023 – July 26, 2023
brain-tumor-prediction — GitHub repository
View Projectolympic-eda
January 26, 2023 – January 27, 2023
The 📈EDA is performed on the 120 Years Olympics Dataset to gain some insights into the data and to answer some questions that are raised in the process of EDA.
View ProjectStudyBuddy
January 23, 2023 – February 13, 2023
StudyBuddy is a web application that allows students to find study partners for any topic of their choice. The application is built using the Django framework and is deployed on Azure.
View Projectcricket-data-analytics
January 7, 2023 – January 9, 2023
The Cricket Data Analytics🏏 project is made on T-20 Cricket World Cup data using Power BI.
View ProjectFarmEasy
January 5, 2023 – January 21, 2023
FarmEasy🌾 is a web application that uses machine learning to predict the best crop to grow in a particular season. The application takes into account the soil, temperature, humidity, ph value and rainfall of a particular region and predicts the best crop to grow in that region.
View Projecteda-app
February 5, 2022 – February 11, 2022
This website can perform eda on any data provided in the form of csv file. This project is made using streamlit and pandas-profiling library.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards AI/ML and data science, which aligns well with an AI/ML Engineer role. The diversity of personal projects suggests initiative and a proactive learning attitude. However, the lack of team-based projects or contributions to open-source initiatives makes it difficult to fully assess collaboration and broader cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.